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ArticleClinical research in cardiology : official journal of the German Cardiac Society2025

Predicting MRI-diagnosed microvascular obstruction and its long-term impact after acute myocardial infarction.

Johannes Brado, Ramona Schmitt, Manuel Hein, Christian Valina, Collin Steinhauer, Martin Soschynski, Christopher Schuppert, Christopher L Schlett, Franz-Josef Neumann, Dirk Westermann and 2 more

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Johannes Brado *Department of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany. johannes.brado@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0002-2662-0588
Ramona Schmitt *Department of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Manuel HeinDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Christian ValinaDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Collin SteinhauerDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Martin SoschynskiDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany.
Christopher SchuppertDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, 79106, Freiburg, Germany.
Franz-Josef NeumannDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Dirk WestermannDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Philipp RuileDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.
Philipp BreitbartDepartment of Cardiology and Angiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrovascular obstruction (MVO) at cardiac magnetic resonance imaging (CMR) is a well-described risk factor for cardiac events after acute myocardial infarction (MI).

objectivePredicting MVO using cardiac biomarkers and performing risk stratification according to extent of MVO.

methodsWe conducted a retrospective study including all patients with an acute MI and a subsequent CMR during the same hospital stay between October 2008 and August 2023. Patients were grouped according to the presence of any MVO and of relevant MVO (defined as > 1.55% of LV myocardial mass). The prediction of MVO based on peak high sensitivity cardiac troponin T (hs-cTnT) levels was analyzed. Survival according to MVO status was assessed in the entire study population.

resultsWe evaluated 597 patients with CMR 3 days [interquartile range 2-4 days] after myocardial infarction. MVO was present in 163 patients (27.3%) and relevant MVO in 100 patients (16.8%). Patients with MVO had significantly higher peak hs-cTnT levels compared to those without (p < 0.001). An hs-cTnT cut-off value of > 2455.0 ng/L predicted present MVO (area under the curve (AUC) 0.824), while a cut-off value of 3975.0 ng/L predicted relevant MVO (AUC 0.837). Relevant MVO was a predictor of all-cause mortality in the entire study population (hazard ratio (HR) 3.89 (1.50-10.09)), with an even stronger association in patients with an LVEF > 35% (HR 5.91 (1.79-19.56)).

conclusionHigher peak hs-cTnT levels are strong predictors of MVO. Described cut-off values could serve as a screening tool. Relevant MVO is a significant predictor of all-cause mortality following acute MI, especially in patients with LVEF > 35%.

Indexed as

Cardiovascular magnetic resonanceMicrovascular obstructionMyocardial infarctionRisk prediction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.